Faculty news

We would like to inform you that while the threat of the COVID-19 infection remains, the University, in line with the decisions made by the Government of the Republic of Lithuania, has decided to extend the deadline for conducting studies and work remotely via on-line measures for 2 more weeks until the midnight of 13 April with a possibility to extend this deadline as well if needed.

Restrictions on accessing University’s infrastructure remain the same.

We remind you that we’ve also created a F.A.Q. section on our website: https://www.vu.lt/en/news/preventive-information-regarding-the-infections-caused-by-coronavirus

Students and employees should study remotely via on-line platforms - lectures and seminars will not take place at the University's buildings. VU employees should also work remotely. If there is no possibility to work at home, follow all recommended hygiene requirements.

Work at laboratories should happen only in the case of a huge material or scientific damage if cancelled. In addition, all planned work trips to foreign countries will be cancelled. Please be cautious and do not plan trips to China, Italy, Spain, France, Germany, South Korea, Iran, Singapore, Japan and other possible areas of the outbreak.

Trips of extreme importance will only be allowed with the permission of the head of faculty/department. If you have recently come back from such a trip, a quarantine of 14 days is mandatory.

Students coming back from ERASMUS+ should quarantine themselves safely at places without shared spaces; therefore, dormitories are unsuitable to quarantine yourselves.

The library's working hours will also change. Libraries will be open on weekdays from 9 am to 6 pm, both in the Central Library, the Scholarly Communication and Information Centre (SCIC) and the faculties. Libraries will not work on weekends. Students will not be allowed to work in the library and students will not have access to the reading rooms. Books will be issued, but only after the list of required books has been provided. Working rooms' reservations will be cancelled.

All events during this period should be postponed, held on-line or, if that is not possible, cancelled.

If you have any questions, University’s Department of Communications and Marketing coordinates communication. Please do not hesitate to contact via email 

The maritime industry is an important part of the global trade system with a growing volume, intensity, and needs. Increasing intensity of maritime traffic raises the need for incident prevention-oriented traffic control.

The maritime anomaly or abnormal movement detection is one of the control techniques. It is based on vessel trajectory analysis and search of irregular, illegal, and other anomalous appearances in trajectory data. A maritime trajectory can include vessel identification data, traffic parameters (e.g. speed and rotation), auxiliary data (e.g., meteorological data) for a vessel, and such dataset presents a large-scale, complex data structure. Nowadays, machine learning-based data analysis and mining techniques is a natural choice for this type of task: the obtained structure of data, the extracted information, detected data regularities could help to estimate vessel movement and make some safety decision, to enable the automatic anomaly detection even. Researches in this field are conducted jointly with the University of Klaipeda by scientists VU Faculty of Mathematics and Informatics (Institute of Data Science and Digital Technologies – Julius Venskus, Povilas Treigys, Jolita Bernatavičienė, Gintautas Tamulevičius, Viktor Medvedev). Algorithms of deep learning neural networks for analysis and processing of sensor traffic data, classification of marine traffic data and detection of unusual traffic are being developed here.

The research is multi-disciplinary and addresses problems related to the analysis of big data, detection of anomalies, retraining of neural networks, processing of sensory data. The results obtained are very useful for solving applied research tasks, contributing to the detection of abnormal ship movement in heavy traffic areas using neural networks.

The results of the research were presented at the international conferences ITISE 2019 (Granada, Spain) and CDAM 2019 (Minsk, Belarus) and published in the journals indexed by the Science Citation Index Expanded (Clarivate Analytics Web of Science): Informatica and Sensors (Q1).

Read more about research here:

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding

Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic.

Vilnius University (VU) Council elected a new rector of VU. Prof Dr Rimvydas Petrauskas will lead the largest higher education institution in Lithuania for five years and will commence his term of office on 1 April.

It took two rounds of voting to elect the new Rector of VU. In the first round, none of the candidates obtained the required majority of Councils’ members votes.

In the second ballot, the most votes from members of the Council received Prof Dr Rimvydas Petrauskas, who collected 8 votes and won against Prof Dr Ramūnas Stepanauskas, who collected 3 votes.

Prof Dr Rimvydas Petrauskas is the Dean of the Faculty of History of Vilnius University, Chairman of the Board of Research Council of Lithuania, Full member of the Lithuanian Academy of Sciences, President of National Committee of Lithuanian History Sciences, former member of the Lithuanian Higher Education Council.

According to VU Statute, the Rector shall be deemed elected if at least 7 of 11 members of the Council vote in his favor. If no candidate obtains the required majority at the first ballot, a second ballot shall be held.

The third ballot shall be held if no candidate obtains the required majority within the first two rounds. In the third one, the Rector shall be elected by a majority of at least 5 votes in his favor, with each member of the Council present at the meeting and having openly voted in favor or against one or more of the candidates. If there is a tie, the vote of the Council presiding over the meeting would determine the outcome of the vote.

6 candidates competed for the position of Rector of VU: President of the Lithuanian Academy of Sciences Prof Habil Dr Jūras Banys, Dean of VU faculty of Law Prof Dr Tomas Davulis, Senior Researcher of the National Centre of Physical and Technology Sciences Prof Dr Eimutis Juzeliūnas, Dean of VU faculty of History Prof Dr Rimvydas Petrauskas, Director of the Single Cell Genomics Centre of „Bigelow“ Laboratory for Ocean, Senior researcher Prof Dr Ramūnas Stepanauskas and current Rector of VU Prof Dr Artūras Žukauskas.

Danske bank challenge Lithuanian universities to show who is best at analytics and data science.

Now Danske Bank would like to invite you to participate in Data Science Challenge 2017.

The purpose of the challenge is to give the opportunity to compete with other universities in Lithuania and show how you and your students bring your extensive knowledge and creativity into play when it comes to developing and using analytics and data science to solve real business problems. We will provide an exciting dataset and business problems related to the financial sector.

You sign up for Data Science Challenge 2017 by sending an e-mail to no later than 10 February 2016.

For more information